This work is licensed under the Creative Commons Attribution 4.0 International License.
Gusmano, M. K., & Okma, K. G. H. (2018). Population aging and the sustainability of the welfare state. The Hastings Center Report, 48, S57-S61.Search in Google Scholar
Beer, P., Olenska, S., & Zbiec, M. (2017). Design for aal integrated furniture for the care and support of elderly and disabled people. Drvna Industrija, 68(3), 185-193.Search in Google Scholar
Schmid, A., Gille, D., Piccinali, P., Bütikofer, Ueli, Chollet, M., & Altintzoglou, T., et al. (2017). Factors predicting meat and meat products consumption among middle-aged and elderly people: evidence from a consumer survey in switzerland. Food & nutrition research, 61(1), 1308111-1308111.Search in Google Scholar
Shin, C. B. (2020). A study on the design strategy based on user segmentation analysis for active aging-focused on selfie-related products-. JOURNAL OF THE KOREAN SOCIETY DESIGN CULTURE.Search in Google Scholar
Lu, N., Li, Y., & Xu, B. (2022). Evaluation of the suitability of smart health products for aging based on the iivahp-critic model: a case study of smart health kiosk. Sustainability, 14.Search in Google Scholar
Lan, J., Xue, Y., Fang, D., & Zheng, Q. (2022). Optimal strategies for elderly public transport service based on impact-asymmetry analysis: a case study of harbin. Sustainability, 14.Search in Google Scholar
Shin, W., & Park, M. (2017). Quantitative analysis of user interfaces for large electronic home appliances and mobile devices based on lifestyle categorization of older users. Experimental Aging Research.Search in Google Scholar
Kleinke, F., Schwaneberg, T., Weymar, F., Penndorf, P., Ulbricht, S., & Lehnert, K., et al. (2018). Moving: motivation-oriented intervention study for the elderly in greifswald: study protocol for a randomized controlled trial. Trials, 19(1), 57.Search in Google Scholar
Vallet, T., Belissa, E., Laribe-Caget, S., Chevallier, A., Chedhomme, F. X., & Leglise, P., et al. (2018). A decision support tool facilitating medicine design for optimal acceptability in the older population. Pharmaceutical Research, 35(7), 136.Search in Google Scholar
Shen, Q., Zhou, F., Wang, Y., Tang, S., & Zhang, P. (2022). Study on the design of a water dispenser for visually impaired families. Sustainability, 14.Search in Google Scholar
Tseng, S. W., Wong, W. K., Shih, C. C., & Su, Y. S. (2020). Building a care management and guidance security system for assisting patients with cognitive impairment. Sustainability, 12.Search in Google Scholar
Jining, Z., Runhua, T., & Hsiung-Cheng, L. (2023). Development of an integrated conceptual path model for a smart elderly care information system. Universal access in the information society(3), 22.Search in Google Scholar
Yue, H., Zhu, T. L., Zhou, Z. J., Zhou, T., & Mourtzis, D. (2022). Improvement of evaluation method of elderly family medical product design based on ahp. Mathematical Problems in Engineering, 2022.Search in Google Scholar
Luo, S., Li, W., Wei, M., & Huang, Y. (2019). A preliminary study of an intelligent grip force collector and service system for the elderly. Advances in Mechanical Engineering, 11(2), 168781401982708.Search in Google Scholar
Loeffler, K., & Pettinger, V. (2021). Shaping health together: practice from the project i-care-smart. European Journal of Public Health.Search in Google Scholar
Zhou, Y., Yuan, Q., & Yang, C. (2020). Transport for the elderly: activity patterns, mode choices, and spatiotemporal constraints. Sustainability, 12.Search in Google Scholar
Li, S. (2021). Synesthetic design of digital elderly products based on big data. Wireless Communications and Mobile Computing, 2021(14), 1-9.Search in Google Scholar
Briede-Westermeyer, J. C., Bélgica Pacheco-Blanco, Luzardo-Briceo, M., & Cristhian Pérez-Villalobos. (2020). Mobile phone use by the elderly: relationship between usability, social activity, and the environment. Sustainability, 12(7), 2690.Search in Google Scholar